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MPI-INF D4 Publications, generated: 19:47, 18 September 2019

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Your search returned the following 17 documents:

  1. Yebin Liu, Carsten Stoll, Jürgen Gall, Hans-Peter Seidel, and Christian Theobalt
    Markerless Motion Capture of Interacting Characters Using Multi-view Image Segmentation
    In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, USA, 2011, 1249-1256
  2. Gerard Pons-Moll, Andreas Baak, Jürgen Gall, Laura Leal-Taixé, Meinard Müller, Hans-Peter Seidel, and Bodo Rosenhahn
    Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
    In: 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011, 1243-1250
    [PDF: Download: 2011_PonsBaGaLeMuSeRo_OutdoorMocap_ICCV.pdf]
  3. Thomas Brox, Bodo Rosenhahn, Jürgen Gall, and Daniel Cremers
    Combined Region and Motion-based 3D Tracking of Rigid and Articulated Objects
    IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (3): 402-415, 2010
  4. Jürgen Gall, Bodo Rosenhahn, Thomas Brox, and Hans-Peter Seidel
    Optimization and Filtering for Human Motion Capture - a Multi-Layer Framework
    International Journal of Computer Vision 87 (1-2): 75-92, 2010
  5. Jürgen Gall and Victor Lempitsky
    Class-Specific Hough Forests for Object Detection
    In: 2009 IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2009, Miami, Florida, 2009, 1022-1029
  6. Jürgen Gall
    Filtering and Optimization Strategies for Markerless Human Motion Capture with Skeleton-based Shape Models
    Doctoral dissertation, Universität des Saarlandes, 2009
    [PDF: Download: diss.pdf]
  7. Nils Hasler, Bodo Rosenhahn, Thorsten Thormählen, Michael Wand, Jürgen Gall, and Hans-Peter Seidel
    Markerless Motion Capture with Unsynchronized Moving Cameras
    In: 2009 IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2009, Miami, USA, 2009, 224-231
  8. Jürgen Gall, Carsten Stoll, Edilson de Aguiar, Christian Theobalt, Bodo Rosenhahn, and Hans-Peter Seidel
    Motion Capture Using Joint Skeleton Tracking and Surface Estimation
    In: 2009 IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2009, Miami, USA, 2009, 1746-1753
  9. Stefan Gehrig, Badino Hernán, and Jürgen Gall
    Accurate and Model-Free Pose Estimation of Crash Test Dummies
    In: Human Motion - Understanding, Modeling, Capture and Animation, 2008, 453-473
  10. Jürgen Gall, Bodo Rosenhahn, and Hans-Peter Seidel
    An Introduction to Interacting Simulated Annealing
    In: Human Motion - Understanding, Modeling, Capture and Animation, 2008, 319-345
  11. Jürgen Gall, Bodo Rosenhahn, and Hans-Peter Seidel
    Drift-free Tracking of Rigid and Articulated Objects
    In: IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, USA, 2008, 1-8
  12. Jürgen Gall, Bodo Rosenhahn, Stefan Gehrig, and Hans-Peter Seidel
    Model-Based Motion Capture for Crash Test Video Analysis
    In: Pattern Recognition, Munich, Germany, 2008, 92-101
  13. Jürgen Gall, Bodo Rosenhahn, and Hans-Peter Seidel
    Clustered Stochastic Optimization for Object Recognition and Pose Estimation
    In: 29th Annual Symposium of the German Association for Pattern Recognition (DAGM'07), Heidelberg, Germany, 2007, 32-41
  14. Jürgen Gall, Jürgen Potthoff, Christoph Schnörr, Bodo Rosenhahn, and Hans-Peter Seidel
    Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications
    Journal of Mathematical Imaging and Vision 28 (1): 1-18, 2007
  15. Jürgen Gall
    Generalised Annealed Particle Filter - Mathematical Framework, Algorithms and Applications
    Master's thesis, University of Mannheim, 2005
    [PDF: Download: gall-diplomarbeit.pdf]
  16. Jürgen Gall, Bodo Rosenhahn, Thomas Brox, and Hans-Peter Seidel
    Learning for Multi-view 3D Tracking in the Context of Particle Filters
    In: Advances in Visual Computing : Second International Symposium, ISVC 2006, Part II, Lake Tahoe, NV, USA, 2006, 59-69
  17. Jürgen Gall, Bodo Rosenhahn, and Hans-Peter Seidel
    Robust Pose Estimation with 3D Textured Models
    In: Advances in Image and Video Technology, First Pacific Rim Symposium, PSIVT 2006, Hsinchu, Taiwan, 2006, 84-95